Structure

Physi-Chem Properties

MedChem Properties

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

ADMET: Distribution

ADMET: Metabolism

ADMET: Excretion

ADMET: Toxicity

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC43196

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference

☑ Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  NP Quantity Composition/Concentration

Organism ID NP ID Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

☑ Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  Biological Activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT249 Individual Protein Glucocorticoid receptor Homo sapiens Potency n.a. 2238.7 nM PMID[493384]
NPT103 Individual Protein Nuclear receptor ROR-gamma Homo sapiens Potency n.a. 4216.3 nM PMID[493384]
NPT2 Others Unspecified Potency n.a. 28.6 nM PubChem BioAssay data set

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC43196 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID
0.85 High Similarity NPC321400
0.8182 Intermediate Similarity NPC237965
0.8182 Intermediate Similarity NPC318912
0.7826 Intermediate Similarity NPC304786
0.75 Intermediate Similarity NPC317724
0.75 Intermediate Similarity NPC128335
0.72 Intermediate Similarity NPC272307
0.6957 Remote Similarity NPC23508
0.6923 Remote Similarity NPC238135
0.6923 Remote Similarity NPC88135
0.6818 Remote Similarity NPC61373
0.68 Remote Similarity NPC230452
0.68 Remote Similarity NPC329496
0.6667 Remote Similarity NPC232172
0.6667 Remote Similarity NPC184593
0.6667 Remote Similarity NPC110107
0.6522 Remote Similarity NPC308490
0.64 Remote Similarity NPC41485
0.64 Remote Similarity NPC3693
0.64 Remote Similarity NPC32280
0.6364 Remote Similarity NPC327092
0.6364 Remote Similarity NPC171090
0.625 Remote Similarity NPC30787
0.625 Remote Similarity NPC208021
0.625 Remote Similarity NPC2419
0.6207 Remote Similarity NPC281883
0.6154 Remote Similarity NPC127134
0.6154 Remote Similarity NPC201132
0.6154 Remote Similarity NPC166804
0.6 Remote Similarity NPC8368
0.5926 Remote Similarity NPC143211
0.5926 Remote Similarity NPC248233
0.5909 Remote Similarity NPC328688
0.5833 Remote Similarity NPC327597
0.5833 Remote Similarity NPC83726
0.5833 Remote Similarity NPC217229
0.5806 Remote Similarity NPC140229
0.5769 Remote Similarity NPC35155
0.5769 Remote Similarity NPC140389
0.5714 Remote Similarity NPC317739
0.5714 Remote Similarity NPC281943
0.5652 Remote Similarity NPC37493
0.5652 Remote Similarity NPC173862
0.56 Remote Similarity NPC203105
0.56 Remote Similarity NPC8187
0.56 Remote Similarity NPC7459

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC43196 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
0.8333 Intermediate Similarity NPD8547 Phase 2
0.6207 Remote Similarity NPD9636 Phase 2
0.6154 Remote Similarity NPD8992 Approved
0.6154 Remote Similarity NPD8989 Approved
0.5862 Remote Similarity NPD901 Approved
0.5714 Remote Similarity NPD3216 Phase 3
0.5714 Remote Similarity NPD30 Approved

  Bioactivity similarity: Similar Natural Products in NPASS

Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.

Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data